Project description
Precision imaging for cancer surgery
Where do tumour cells end and normal cells start? This is not an easy question to answer, despite all the advanced technology that is available today. Supported by the Marie Sklodowska-Curie Actions programme, the INTEGRATION project aims to change this through the development of a state-of-the-art platform that integrates near-infrared nanoprobes, 3D bioprinting, and machine learning. By operating in the underexplored NIR-III spectrum, the project aims to deliver unprecedented image contrast in deep tissue. The project’s goal is to develop brain-like systems using 3D bioprinting methods and train algorithms to define tumour edges with extreme precision. This could contribute to enhancing accuracy of surgery, reducing the chances of cancer recurrence, and reducing animal experimentation.
Objective
Cancer surgery often comes down to a crucial question: where does the tumor end, and healthy tissue begin? One wrong cut can leave malignant cells behind or damage vital functions. INTEGRATION addresses this challenge by combining three cutting-edge approaches into a single preclinical platform: near-infrared-emitting nanoprobes, 3D-bioprinted brain-like models, and machine learning algorithms. By operating in the underexplored third biological transparency window (NIR-III, 1550-1850 nm), where tissue scattering is reduced and autofluorescence disappears, INTEGRATION will deliver sharper, higher-contrast images of tumor boundaries than currently possible.
To validate this strategy, custom fluorescent nanoprobes will be engineered for stability, biocompatibility, and strong NIR-III emission. These will be tested in lifelike tissue phantoms created with 3D bioprinting, where healthy and tumoral regions are reproduced with tunable shape and optical properties. Fluorescence images collected from these models will train a convolutional neural network (U-Net) to precisely segment tumor margins in three dimensions. Finally, the approach will be validated ex vivo in mouse brain tissues, generating a proof-of-concept pipeline that is rigorous, ethical, and sustainable.
Expected outcomes include the development of reliable NIR-III contrast agents, protocols for brain-mimicking phantom fabrication, and a machine-learning-based method for accurate tumor segmentation. INTEGRATION thus paves the way for safer surgeries, fewer relapses, and faster translation toward real-time fluorescence image-guided operations. Beyond healthcare, it reduces dependence on animal models, strengthens Europe’s leadership in nanomaterials, bioprinting, and machine learning, and supports the long-term vision of precision medicine and robotic-assisted surgery.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine surgery
- engineering and technology nanotechnology nano-materials
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28049 MADRID
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.